ggshakeR VS engsoccerdata

Compare ggshakeR vs engsoccerdata and see what are their differences.

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ggshakeR engsoccerdata
1 1
108 740
- -
2.2 0.0
8 months ago over 1 year ago
R R
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ggshakeR

Posts with mentions or reviews of ggshakeR. We have used some of these posts to build our list of alternatives and similar projects.

engsoccerdata

Posts with mentions or reviews of engsoccerdata. We have used some of these posts to build our list of alternatives and similar projects.
  • Updated 538 predictions after today's results
    1 project | /r/coys | 16 Apr 2022
    "The forecasts are based on a substantially revised version of ESPN’s Soccer Power Index (SPI), a rating system originally devised by FiveThirtyEight editor-in-chief Nate Silver in 2009 for rating international soccer teams. We have updated and adapted SPI to incorporate club soccer data going back to 1888 (from more than 550,000 matches in all) that we’ve collected from ESPN’s database and the Engsoccerdata GitHub repository, as well as from play-by-play data produced by Opta that has been available since 2010."

What are some alternatives?

When comparing ggshakeR and engsoccerdata you can also consider the following projects:

understatr - fetch understat data

fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

sjPlot - sjPlot - Data Visualization for Statistics in Social Science

esquisse - RStudio add-in to make plots interactively with ggplot2

R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

tanya-data-viz - Personal data visualization side projects.

Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge

Graphia - A visualisation tool for the creation and analysis of graphs

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing